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Cost and performance comparison

Claude Fable 5.1 vs GPT-6 Astra

Model AAnthropic

Claude Fable 5.1

Capability score (editorial)100/100
Cost / 1M Tokens
$22.00
70% in · 30% out mix
≈ $31.46 for the same text, tokenizer included
Value Index (score÷cost)
3.2
Higher = better value
Speed
56/100
Context
1.0M
Tier
Power Tier

List price from the Anthropic pricing page, verified October 12, 2026.

Its tokenizer produces about 43% more tokens than OpenAI's for the same text, so the real cost runs higher than the list price suggests. This is an estimate: the tokenizer has not been measured yet.

Check the source

How we verify prices

Model BOpenAI

GPT-6 Astra

Capability score (editorial)100/100
Cost / 1M Tokens
$22.00
70% in · 30% out mix
Value Index (score÷cost)
4.5
Higher = better value
Speed
58/100
Context
1.1M
Tier
Power Tier

List price from the OpenAI pricing page, verified October 12, 2026.

Check the source

How we verify prices

In-depth analysis

Claude Fable 5.1 vs GPT-6 Astra: Detailed Comparison

Claude Fable 5.1 is Anthropic's flagship-tier language model with a 1.0M-token context window, excelling at coding. GPT-6 Astra from OpenAI is a flagship-tier model supporting 1.1M tokens in context, with standout performance in reasoning.

This is a genuine tradeoff rather than a clear win. Claude Fable 5.1 leads by 1 points on combined coding and reasoning, and costs 30% more for the same text to do it. The margin is narrow enough that the answer depends on your workload: on tasks where the extra capability shows up, the premium pays for itself; on routine work it does not. Claude Fable 5.1 is priced at $10.00/M input tokens and $50.00/M output tokens. GPT-6 Astra costs $10.00/M input and $50.00/M output.

Claude Fable 5.1 turns the same text into about 43% more tokens than GPT-6 Astra, because their tokenizers differ — so comparing list prices per token understates what Claude Fable 5.1 costs. For the same text, split 70% input and 30% output and counted the way OpenAI's tokenizer counts it, Claude Fable 5.1 works out at about $31.46 per million tokens and GPT-6 Astra at $22.00. Every cost figure on this page includes that difference.

On iOPTERA's editorial scores, Claude Fable 5.1 leads with 100/100 for coding and 100/100 for reasoning, against GPT-6 Astra's 99/100 and 100/100.

Capability breakdown

Across the five core benchmark categories, here is how Claude Fable 5.1 and GPT-6 Astra stack up head to head:

coding
100
99
reasoning
100
100
data extraction
98
97
creative tasks
98
97
vision/multimodal
97
98

Best model by task

  • coding: Claude Fable 5.1 wins with 100/100
  • data extraction: Claude Fable 5.1 wins with 98/100
  • creative tasks: Claude Fable 5.1 wins with 98/100
  • vision/multimodal: GPT-6 Astra wins with 98/100

Estimated monthly cost at scale

For 10M + 2M tokens of text a month (counted the way OpenAI's tokenizer counts), Claude Fable 5.1 runs about $286.00 while GPT-6 Astra runs about $200.00 — GPT-6 Astra saves roughly $86.00 (30%) every month.

What actually decides it

Claude Fable 5.1 and GPT-6 Astra come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.

Claude Fable 5.1 and GPT-6 Astra were released within 0 months of each other, so they are competing on the same evaluations under roughly the same conditions. That makes a direct benchmark comparison meaningful here in a way it usually is not — neither model has the advantage of being measured on a newer, easier set of tests.

Context is effectively a tie: 1.1M against 1.0M. Neither model unlocks a document size the other cannot handle, so this axis should not enter the decision. If you were hoping context would break the tie for you, it will not.

Throughput is close enough to ignore — 58/100 versus 56/100. Neither model will feel noticeably quicker in an interactive product, so latency is not a reason to choose between them.

Neither model is the obvious answer. Claude Fable 5.1 leads on benchmarks, GPT-6 Astra on cost, and the gap is small on both. Run the calculator above with your real token mix — for most workloads that decides it faster than any benchmark table will.

What you actually pay

The list price is only the start. Prompt caching, batch processing and long prompts change the bill, and each provider sets them differently. Prices per 1M tokens.

Pricing terms beyond the list price, per 1M tokens
Pricing termClaude Fable 5.1GPT-6 Astra
List price (input / output)$10.00 / $50.00$10.00 / $50.00
Cached input$0.252.5% of the input price$1.0010% of the input price
Batch API50% off input and output50% off input and output
Long promptsNo surcharge across the 1M windowOver 272K tokens: $20.00 / $75.00
Input with 80% cache hits$2.20$2.80

With 80% of input served from the cache, GPT-6 Astra costs 11% less than Claude Fable 5.1 for the same input text, counting each model's tokenizer.The tokenizer factor for Claude Fable 5.1 is our estimate until it is measured.

The last row assumes 80% of input tokens are read from the cache, as in a chat app that re-sends a long system prompt or RAG over the same documents. Cache-write and storage charges are not included.

Claude also bills cache writes: 1.25× the input price for a 5-minute cache, 2× for one hour.

Checked on October 8, 2026 against the pricing pages of Anthropic, OpenAI.

Capability scores

iOPTERA editorial scores across 5 categories — informed by public benchmarks, not measured by us

CategoryClaude FableGPT-6 AstraWinner

Coding

100
99
A

Reasoning

100
100
Tied

Extraction

98
97
A

Creative

98
97
A

Vision

97
98
B
Claude Fable 5.1: 3 wins
GPT-6 Astra: 1 wins
Claude Fable 5.1 leads overall

Speed Score

56/100vs58/100
ClaudeGPT-6

Context Window

1000Kvs1050K
ClaudeGPT-6

What Is a Token?

Models don't read words — they process tokens.

A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.

Short phrase

"Hello, world!"

4 tokens
Claude Fable 5.1
$5.72
GPT-6 Astra
$4.00

Business email

One typical email (~200 words)

~270 tokens
Claude Fable 5.1
$386.10
GPT-6 Astra
$270.00

Code file

50-line Python script

~400 tokens
Claude Fable 5.1
$572.00
GPT-6 Astra
$400.00

Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both Claude Fable 5.1 and GPT-6 Astra, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.

How to check your token usage

response.usage.total_tokens

Every API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.

Your Cost Calculator

Enter your actual monthly token usage to see real savings

Quick Presets

30M tokens
Prompt 70%Completion 30%

Claude Fable 5.1

$943.80/mo

$11,325.60/yr

$10.00/M input$50.00/M output
Cheaper

GPT-6 Astra

$660.00/mo

$7,920.00/yr

$10.00/M input$50.00/M output

Annual Savings

$3,405.60 saved per year

GPT-6 Astra cheaper · $283.80/mo

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